Qualitative Research Methods for Evaluation

Learning goals

At the end of this course, participants will be able to:

- Design, plan and conduct evaluations using different qualitative methods;

- Explain how qualitative methods can be integrated into development programme cycles;

- Decide what qualitative method(s) may be relevant in different evaluation contexts;


From focus group discussions and accountability mechanisms to the daily interactions of field staff with beneficiaries, development agencies are awash with qualitative data. Growing recognition of how qualitative methods can strengthen programme impact and explain how and why change is happening, is putting pressure on development practitioners to adopt a ‘qualitative research approach’ in their monitoring, evaluation, and learning work.

What constitutes qualitative data, and how do you best generate it? For what purposes do you need to generate qualitative data? How methodological do you have to be to generate qualitative information that is ‘good enough’ to be called ‘evidence’?

It is the aim of this workshop to equip participants with the theoretical knowledge to answer these questions and the practical skills to use different qualitative methods in their monitoring and evaluation work. The teaching approach will be dialogic and with problem-based learning exercises.

The workshop runs over 2.5 days and will be structured in two parts.

Part 1 introduces participants to qualitative monitoring and evaluation...

Areas of expertise
  • Methodological skills /knowledge
Implementing institution/s or person/s (incl. short description)

Anuprita Shukla

Scope (duration)

2.5 days long

Target groups

Evaluators (as in the Program), applied social scientists, policy makers at the beginning of their careers, NGO practitioners.

Other Information

This is an introductory workshop, and no previous experience is required.

Participation requirements

- Basic knowledge of development programme monitoring, evaluation, learning and accountability;

- Familiarity with social science research.